IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i6p899-d1607779.html
   My bibliography  Save this article

Sensorless Control of Permanent Magnet Synchronous Motor Drives with Rotor Position Offset Estimation via Extended State Observer

Author

Listed:
  • Ramón Ramírez-Villalobos

    (Postgraduate Program in Engineering Sciences, Dynamics Systems and Control, Tecnologico Nacional de México/IT Tijuana, Blvd. Alberto Limon Padilla s/n, Tijuana 22454, Baja California, Mexico)

  • Luis N. Coria

    (Postgraduate Program in Engineering Sciences, Dynamics Systems and Control, Tecnologico Nacional de México/IT Tijuana, Blvd. Alberto Limon Padilla s/n, Tijuana 22454, Baja California, Mexico)

  • Paul A. Valle

    (Postgraduate Program in Engineering Sciences, Dynamics Systems and Control, Tecnologico Nacional de México/IT Tijuana, Blvd. Alberto Limon Padilla s/n, Tijuana 22454, Baja California, Mexico)

  • Christian Aldrete-Maldonado

    (Postgraduate Program in Engineering Sciences, Dynamics Systems and Control, Tecnologico Nacional de México/IT Tijuana, Blvd. Alberto Limon Padilla s/n, Tijuana 22454, Baja California, Mexico)

Abstract

The aim of this study is to develop sensorless high-speed tracking control for surface-mounted permanent magnet synchronous motors by taking the rotor position offset error and time-varying load torque into consideration. This proposal combines an extended state observer with an adaptation position algorithm, employing only the measurement of electrical variables for feedback. First, a rotatory coordinate model of the motor is proposed, wherein the rotor position offset error is considered as a perturbation function within the model. Second, based on the aforementioned model, a rotary coordinate model of the motor is extended in one state to estimate the load torque, as well as the rotor’s position and speed, despite the presence of the rotor position offset error. Through Lyapunov stability analysis, sufficient conditions were established to guarantee that the error estimations were bounded. Finally, to validate the feasibility of the proposed sensorless scheme, experiments were conducted on the Technosoft ® development platform, where the alignment routine was disabled and an intentional misalignment between the magnetic north pole and the stator’s south pole was established.

Suggested Citation

  • Ramón Ramírez-Villalobos & Luis N. Coria & Paul A. Valle & Christian Aldrete-Maldonado, 2025. "Sensorless Control of Permanent Magnet Synchronous Motor Drives with Rotor Position Offset Estimation via Extended State Observer," Mathematics, MDPI, vol. 13(6), pages 1-28, March.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:6:p:899-:d:1607779
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/6/899/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/6/899/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tae-Uk Jung & Jung-Hoon Jang & Chang-Seok Park, 2017. "A Back-EMF Estimation Error Compensation Method for Accurate Rotor Position Estimation of Surface Mounted Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 10(8), pages 1-16, August.
    2. Christian Aldrete-Maldonado & Ramon Ramirez-Villalobos & Luis N. Coria & Corina Plata-Ante, 2023. "Sensorless Scheme for Permanent-Magnet Synchronous Motors Susceptible to Time-Varying Load Torques," Mathematics, MDPI, vol. 11(14), pages 1-20, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuo Chen & Xiao Zhang & Xiang Wu & Guojun Tan & Xianchao Chen, 2019. "Sensorless Control for IPMSM Based on Adaptive Super-Twisting Sliding-Mode Observer and Improved Phase-Locked Loop," Energies, MDPI, vol. 12(7), pages 1-19, March.
    2. Guan-Ren Chen & Shih-Chin Yang & Yu-Liang Hsu & Kang Li, 2017. "Position and Speed Estimation of Permanent Magnet Machine Sensorless Drive at High Speed Using an Improved Phase-Locked Loop," Energies, MDPI, vol. 10(10), pages 1-17, October.
    3. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    4. Alessandro Benevieri & Lorenzo Carbone & Simone Cosso & Krishneel Kumar & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2022. "Surface Permanent Magnet Synchronous Motors’ Passive Sensorless Control: A Review," Energies, MDPI, vol. 15(20), pages 1-26, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:13:y:2025:i:6:p:899-:d:1607779. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.